Insights In Computational Neuroscience
Download Insights In Computational Neuroscience full books in PDF, epub, and Kindle. Read online free Insights In Computational Neuroscience ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Insights in computational neuroscience
Author | : Si Wu,Misha Tsodyks |
Publsiher | : Frontiers Media SA |
Total Pages | : 150 |
Release | : 2023-04-11 |
Genre | : Science |
ISBN | : 9782832520505 |
Download Insights in computational neuroscience Book in PDF, Epub and Kindle
Computational Neuroscience Theoretical Insights into Brain Function
Author | : Paul Cisek,Trevor Drew,John Kalaska |
Publsiher | : Elsevier |
Total Pages | : 570 |
Release | : 2007-11-14 |
Genre | : Science |
ISBN | : 0080555020 |
Download Computational Neuroscience Theoretical Insights into Brain Function Book in PDF, Epub and Kindle
Computational neuroscience is a relatively new but rapidly expanding area of research which is becoming increasingly influential in shaping the way scientists think about the brain. Computational approaches have been applied at all levels of analysis, from detailed models of single-channel function, transmembrane currents, single-cell electrical activity, and neural signaling to broad theories of sensory perception, memory, and cognition. This book provides a snapshot of this exciting new field by bringing together chapters on a diversity of topics from some of its most important contributors. This includes chapters on neural coding in single cells, in small networks, and across the entire cerebral cortex, visual processing from the retina to object recognition, neural processing of auditory, vestibular, and electromagnetic stimuli, pattern generation, voluntary movement and posture, motor learning, decision-making and cognition, and algorithms for pattern recognition. Each chapter provides a bridge between a body of data on neural function and a mathematical approach used to interpret and explain that data. These contributions demonstrate how computational approaches have become an essential tool which is integral in many aspects of brain science, from the interpretation of data to the design of new experiments, and to the growth of our understanding of neural function. • Includes contributions by some of the most influential people in the field of computational neuroscience • Demonstrates how computational approaches are being used today to interpret experimental data • Covers a wide range of topics from single neurons, to neural systems, to abstract models of learning
Data Driven Computational Neuroscience
Author | : Concha Bielza,Pedro Larrañaga |
Publsiher | : Cambridge University Press |
Total Pages | : 709 |
Release | : 2020-11-26 |
Genre | : Computers |
ISBN | : 9781108493703 |
Download Data Driven Computational Neuroscience Book in PDF, Epub and Kindle
Trains researchers and graduate students in state-of-the-art statistical and machine learning methods to build models with real-world data.
Computational Neuroscience
Author | : Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Xanthopoulos |
Publsiher | : Springer Science & Business Media |
Total Pages | : 330 |
Release | : 2010-07-03 |
Genre | : Medical |
ISBN | : 9780387886305 |
Download Computational Neuroscience Book in PDF, Epub and Kindle
This volume includes contributions from diverse disciplines including electrical engineering, biomedical engineering, industrial engineering, and medicine, bridging a vital gap between the mathematical sciences and neuroscience research. Covering a wide range of research topics, this volume demonstrates how various methods from data mining, signal processing, optimization and cutting-edge medical techniques can be used to tackle the most challenging problems in modern neuroscience.
Algorithms of Intelligence Exploring the World of Machine Learning
Author | : Dr R. Keerthika,Ms.S.S.Abinayaa |
Publsiher | : Inkbound Publishers |
Total Pages | : 224 |
Release | : 2022-01-20 |
Genre | : Computers |
ISBN | : 9788196822347 |
Download Algorithms of Intelligence Exploring the World of Machine Learning Book in PDF, Epub and Kindle
Delve into the fascinating world of machine learning with this comprehensive guide, which unpacks the algorithms driving today's intelligent systems. From foundational concepts to advanced applications, this book is essential for anyone looking to understand the mechanics behind AI.
From Neuron to Cognition via Computational Neuroscience
Author | : Michael A. Arbib,James J. Bonaiuto |
Publsiher | : MIT Press |
Total Pages | : 808 |
Release | : 2016-11-04 |
Genre | : Science |
ISBN | : 9780262335270 |
Download From Neuron to Cognition via Computational Neuroscience Book in PDF, Epub and Kindle
A comprehensive, integrated, and accessible textbook presenting core neuroscientific topics from a computational perspective, tracing a path from cells and circuits to behavior and cognition. This textbook presents a wide range of subjects in neuroscience from a computational perspective. It offers a comprehensive, integrated introduction to core topics, using computational tools to trace a path from neurons and circuits to behavior and cognition. Moreover, the chapters show how computational neuroscience—methods for modeling the causal interactions underlying neural systems—complements empirical research in advancing the understanding of brain and behavior. The chapters—all by leaders in the field, and carefully integrated by the editors—cover such subjects as action and motor control; neuroplasticity, neuromodulation, and reinforcement learning; vision; and language—the core of human cognition. The book can be used for advanced undergraduate or graduate level courses. It presents all necessary background in neuroscience beyond basic facts about neurons and synapses and general ideas about the structure and function of the human brain. Students should be familiar with differential equations and probability theory, and be able to pick up the basics of programming in MATLAB and/or Python. Slides, exercises, and other ancillary materials are freely available online, and many of the models described in the chapters are documented in the brain operation database, BODB (which is also described in a book chapter). Contributors Michael A. Arbib, Joseph Ayers, James Bednar, Andrej Bicanski, James J. Bonaiuto, Nicolas Brunel, Jean-Marie Cabelguen, Carmen Canavier, Angelo Cangelosi, Richard P. Cooper, Carlos R. Cortes, Nathaniel Daw, Paul Dean, Peter Ford Dominey, Pierre Enel, Jean-Marc Fellous, Stefano Fusi, Wulfram Gerstner, Frank Grasso, Jacqueline A. Griego, Ziad M. Hafed, Michael E. Hasselmo, Auke Ijspeert, Stephanie Jones, Daniel Kersten, Jeremie Knuesel, Owen Lewis, William W. Lytton, Tomaso Poggio, John Porrill, Tony J. Prescott, John Rinzel, Edmund Rolls, Jonathan Rubin, Nicolas Schweighofer, Mohamed A. Sherif, Malle A. Tagamets, Paul F. M. J. Verschure, Nathan Vierling-Claasen, Xiao-Jing Wang, Christopher Williams, Ransom Winder, Alan L. Yuille
Computational Neuroscience in Epilepsy
Author | : Ivan Soltesz,Kevin Staley |
Publsiher | : Academic Press |
Total Pages | : 624 |
Release | : 2011-09-02 |
Genre | : Science |
ISBN | : 0080559530 |
Download Computational Neuroscience in Epilepsy Book in PDF, Epub and Kindle
Epilepsy is a neurological disorder that affects millions of patients worldwide and arises from the concurrent action of multiple pathophysiological processes. The power of mathematical analysis and computational modeling is increasingly utilized in basic and clinical epilepsy research to better understand the relative importance of the multi-faceted, seizure-related changes taking place in the brain during an epileptic seizure. This groundbreaking book is designed to synthesize the current ideas and future directions of the emerging discipline of computational epilepsy research. Chapters address relevant basic questions (e.g., neuronal gain control) as well as long-standing, critically important clinical challenges (e.g., seizure prediction). Computational Neuroscience in Epilepsy should be of high interest to a wide range of readers, including undergraduate and graduate students, postdoctoral fellows and faculty working in the fields of basic or clinical neuroscience, epilepsy research, computational modeling and bioengineering. Covers a wide range of topics from molecular to seizure predictions and brain implants to control seizures Contributors are top experts at the forefront of computational epilepsy research Chapter contents are highly relevant to both basic and clinical epilepsy researchers
Computational Cultural Neuroscience
Author | : Joan Y. Chiao |
Publsiher | : Unknown |
Total Pages | : 0 |
Release | : 2024 |
Genre | : Medical |
ISBN | : 1003384234 |
Download Computational Cultural Neuroscience Book in PDF, Epub and Kindle
"This book provides novel insights into the study of empirical computational approaches in the field of Cultural Neuroscience. It discusses and analyses topics such as cultural intelligence, cultural machine learning, cultural brain dynamics, and cultural security. This comprehensive text engages with computational principles to guide the research on the influence of cultural environments on human genetics. It explores the theoretical and methodological approaches involved in computational neuroscience. The author elucidates how cultural processes intersect with the structural organisation of the nervous system, contributing to the study of computational principles and neural information processing mechanisms at the cultural level. Research in this subject area can help provide better understanding of the role of computation in cultural neuroscience, stimulating further research into practice and policy. Computational Cultural Neuroscience: An Introduction is the ideal resource for academics, researchers and students in psychology, neuroscience, computer science or philosophy who are interested in or cultural neuroscience"--